TY - EJOUR
DO - 10.1371/journal.pone.0023009
AB - We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by considering subnetworks of the global brain network. These subnetworks represent either the inter-connectivity between two brain anatomical regions or by the intra-connectivity within the same brain anatomical region. An appropriate summary statistic, that characterizes a meaningful feature of the subnetwork, is evaluated. Based on this summary statistic, a statistical test is performed to derive the corresponding p-value. The reformulation of the problem in this way reduces the number of statistical tests in an orderly fashion based on our understanding of the problem. Considering the global testing problem, the p-values are corrected to control the rate of false discoveries. Finally, the procedure is followed by a local investigation within the significant subnetworks. We contrast this strategy with the one based on the individual measures in terms of power. We show that this strategy has a great potential, in particular in cases where the subnetworks are well defined and the summary statistics are properly chosen. As an application example, we compare structural brain connection matrices of two groups of subjects with a 22q11.2 deletion syndrome, distinguished by their IQ scores.
T1 - Adaptive Strategy for the Statistical Analysis of Connectomes
IS - 8
DA - 2011
AU - Meskaldji, Djalel Eddine
AU - Ottet, Marie-Christine
AU - Cammoun, Leila
AU - Hagmann, Patric
AU - Meuli, Reto
AU - Eliez, Stephan
AU - Thiran, Jean-Philippe
AU - Morgenthaler, Stephan
JF - Plos One
SP - e23009
VL - 6
EP - e23009
PB - Public Library of Science
ID - 167789
KW - Multiple comparisons
KW - Human brain connectivity
KW - Brain networks
KW - Diffusion MRI
KW - Bonferroni
KW - LTS5
SN - 1932-6203
UR - http://infoscience.epfl.ch/record/167789/files/journal.pone.0023009.pdf
ER -